A Target Recognition System for Small Sample Underwater Images
A technology for underwater image and target recognition, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve the problems of underwater images without model training, low quality of sonar images, insufficient verification, etc., to achieve automatic Deploy and accelerate learning, save manpower and time costs, and be easy to promote
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[0034] refer to Figure 1-9 , which is the first embodiment of the present invention, this embodiment provides a target recognition system for small-sample underwater images, including: imaging module 100, picture preprocessing module 200, deep learning module 300 and evaluation module 400; wherein the imaging module 100 is used for imaging the underwater target area, including an imaging mode selection unit 101, and the imaging mode selection unit can perform different selections of optical imaging or acoustic imaging.
[0035] The image preprocessing module 200 is connected to the imaging module 100, uses different deep learning frameworks and learning modes according to the user's selection, trains the model and monitors the whole process, including the grayscale conversion unit 201, the image binarization unit 202, and the ROI area Division unit 203, contour drawing unit 204, image noise reduction and dehazing unit 205, morphological transformation unit 206, and feature ex...
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